Connectionists: Postdoctoral fellow in Deep Learning-Based Image Quality Assessment at NTNU, Norway

[Marius Pedersen]

We have an open, fully-funded, 41 months Postdoctoral position in deep learning-based image quality assessment at Norwegian Colour and Visual Computing Laboratory (Colourlab) at the Norwegian university of Science and Technology (NTNU).

The position will focus on developing deep learning based image quality metrics. The Postdoctoral position is part of the research project "Quality and Content: understanding the influence of content on subjective and objective image quality assessment", funded by the Research Council of Norway. The project aims to advance the understanding of image quality and develop more precise and better performing image quality metrics based on improved understanding on how content influences image quality. The Postdoctoral position will focus on developing more precise and better performing image quality metrics using deep-learning and understanding on how content influences image quality. The post doctoral researcher will work in collaboration with other project members and partners.

We are looking for a candidate with good experience and competence in deep learning.

As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 553 500 (~57500 euro) per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund. The period of employment is 41 months, and place of work is Gjøvik, Norway.

Deadline: 1st of May 2022

More information and the process for applying is found at https://www.jobbnorge.no/en/available-jobs/job/224149/postdoctoral-fellow-in-deep-learning-based-image-quality-assessment

Best regards
Marius Pedersen
Professor of Colour Imaging
Director of the Norwegian Colour and Visual Computing Laboratory www.colourlab.no<http://www.colourlab.no>
Department of Computer Science
NTNU
marius.pedersen at ntnu.no<mailto:marius.pedersen at ntnu.no> - (+47) 93 63 43 85

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